We propose SUSIE, a novel summarization method that can work with state-of-the-art summarization models in order to produce structured scientific summaries for academic articles. We also created PMC-SA, a new dataset of academic publications, suitable for the task of structured summarization with neural networks. We apply SUSIE combined with three different summarization models on the new PMC-SA dataset and we show that the proposed method improves the performance of all models by as much as 4 ROUGE points.
CITATION STYLE
Gidiotis, A., & Tsoumakas, G. (2020). Structured Summarization of Academic Publications. In Communications in Computer and Information Science (Vol. 1168 CCIS, pp. 636–645). Springer. https://doi.org/10.1007/978-3-030-43887-6_57
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